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Paper Citation Record · LEDGER

Position: Benchmarking is Limited in Reinforcement Learning Research

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.16241.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.16241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:02:43.177362Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T21:27:28.456173Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ac8118e3-0368-4a1b-809d-78fa799e1ecb · inbound

Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning cites this paper.

Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning Position: Benchmarking is Limited in Reinforcement Learning Research

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T12:24:23.363794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:24:23.363794Z digest=sha256:59959483ab62e860b4b21a5b5170e6b2f5d23b87579a2ae773ba628320c895ce

Observation d4934cf5-4fde-44d4-8d26-623fea8dd3d5 · inbound

Humans Coexist, So Must Embodied Artificial Agents cites this paper.

Humans Coexist, So Must Embodied Artificial Agents Position: Benchmarking is Limited in Reinforcement Learning Research

Reference 59

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T21:27:28.461918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T21:27:27.509403Z digest=sha256:b919bcff017de0197dd714787eb0a06f6cca4d6a4a00e2abe00c21be997b4d72

Observation 3cc8f5c1-f44b-4574-b4fe-589ef867e075 · inbound

Generative AI Act II: Test Time Scaling Drives Cognition Engineering cites this paper.

Generative AI Act II: Test Time Scaling Drives Cognition Engineering Position: Benchmarking is Limited in Reinforcement Learning Research

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-16T12:02:43.177362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:02:43.177362Z digest=sha256:7da216e3265628c64062391c809514ef02c160dbcddd8a405c304fef58f02d6f